wynot12

wynot12's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.7k1.7k45.5k22.3k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k1732.8k3k

• optuna/optuna

  A hyperparameter optimization framework

  Language:Python10.6k1171.7k1k

• NVIDIA/DALI

  A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

  Language:C++5.1k921.6k615

• facebookresearch/PyTorch-BigGraph

  Generate embeddings from large-scale graph-structured data.

  Language:Python3.4k89196449

• towhee-io/towhee

  Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

  Language:Python3.2k29664246

• alpa-projects/alpa

  Training and serving large-scale neural networks with auto parallelization.

  Language:Python3.1k44296353

• facebook/Ax

  Adaptive Experimentation Platform

  Language:Python2.4k69736303

• microsoft/ELL

  Embedded Learning Library

  Language:C++2.3k162215295

• tensorflow/tflite-micro

  Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).

  Language:C++1.9k54816806

• pykeen/pykeen

  🤖 A Python library for learning and evaluating knowledge graph embeddings

  Language:Python1.6k27547186

• microsoft/EdgeML

  This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

  Language:C++1.6k88104369

• alibaba/clusterdata

  cluster data collected from production clusters in Alibaba for cluster management research

  Language:Jupyter Notebook1.6k77176405

• awslabs/dgl-ke

  High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.

  Language:Python1.3k28145194

• apache/jena

  Apache Jena

  Language:Java1.1k78493647

• uma-pi1/kge

  LibKGE - A knowledge graph embedding library for reproducible research

  Language:Python76919171124

• msr-fiddle/pipedream

  Language:Python3751873117

• lsds/KungFu

  Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.

  Language:Go293234458

• alibaba/EasyParallelLibrary

  Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.

  Language:Python262131049

• snuspl/nimble

  Lightweight and Parallel Deep Learning Framework

  Language:C++26292333

• alibaba/GPU-scheduler-for-deep-learning

  GPU-scheduler-for-deep-learning

  Language:C++1938633

• marius-team/marius

  Large scale graph learning on a single machine.

  Language:C++16098045

• stanford-futuredata/gavel

  Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020

  Language:Jupyter Notebook125112431

• msr-fiddle/synergy

  Language:Python471111

• msr-fiddle/DS-Analyzer

  Language:Python342313

• SamsungLabs/FastFlow

  FastFlow is a system that automatically detects CPU bottlenecks in deep learning training pipelines and resolves the bottlenecks with data pipeline offloading to remote resources .

  Language:Python25817

• msr-fiddle/CoorDL

  Language:C++231112

• uma-pi1/dist-kge

  Language:Python14203

• cirquit/presto

  Language:Jupyter Notebook13202

• SamsungLabs/fastflow-tensorflow

  A customized Tensorflow with partial offloading and profiling features for FastFlow project.

  Language:C++5413